342 algorithm-"Multiple"-"U.S"-"Prof"-"Simons-Foundation"-"University-of-Wisconsin-Madison" positions
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Field
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software is not on the blacklist" (without revealing the exact software). There are multiple aspects of this project. For all aspects, some cryptography background is required. Design and analysis of new
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Nutrition Research Institute (NRI) is a world-renowned center and a global leader in precision nutrition research. Our on-site facilities include multiple wet labs and clinical facilities as well as a
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Anomaly detection is an important task in data mining. Traditionally most of the anomaly detection algorithms have been designed for ‘static’ datasets, in which all the observations are available
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underwater acoustics including algorithm design, implementation, verification, and performance analysis in the Advanced Technology Laboratory (ATL). Responsibilities Design, implement and test real-time and
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needed under the direction of the Transitional Care Coordinator. Under the direction and supervision of Transitional Care Coordinator, utilizes multiple referral platforms such as Enso care, e-fax and
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guarantees of FL. In this project, we aim at an ambitious goal - designing secure and privacy-enhancing algorithms and framework for FL and applying our designs into real-world applications. To achieve
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appointment information, and directions. Coordinate services across multiple DUHS and PDC clinical locations, departments, and providers. Service oriented tasks are transactional, and productivity based
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issues. Professional Development Learn the underlying science, mathematics, statistics, data analysis, and algorithms of computational research questions. This may involve independent research, studying
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programming concepts, data structures/design patterns/algorithm performance analysis. Excellent communication skills and readiness to work with team leads and principle investigators to ensure technical
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this interdisciplinary project, we are looking for a strong candidate to contribute to the development of quantum algorithms and applications, focusing on quantum walks and quantum machine learning on graph structures